Universal approximation theorem

In economics, the isoelastic function for utility, also known as the isoelastic utility function, or power utility function is used to express utility in terms of consumption or some other economic variable that a decision-maker is concerned with. The isoelastic utility function is a special case of HARA and at the same time is the only class of utility functions with constant relative risk aversion, which is why it is also called the CRRA utility function.

It is

$u(c)=\{\begin{array}{ll}\frac{c^{1-\eta }-1}{1-\eta }& \eta >0\text{, }\eta \ne 1\\ \log (c)& \eta =1\end{array}$

where $c$ is consumption, $u(c)$ the associated utility, and $\eta$ is a non-negative constant. Since additive constant terms in objective functions do not affect optimal decisions, the term –1 in the numerator can be, and usually is, omitted (except when establishing the limiting case of log(c) as below).

When the context involves risk, the utility function is viewed as a von Neumann-Morgenstern utility function, and the parameter $\eta$ is a measure of risk aversion.

The isoelastic utility function is a special case of the hyperbolic absolute risk aversion (HARA) utility functions, and is used in analyses that either include or do not include underlying risk.

Empirical parametrization

There is substantial debate in the economics and finance literature with respect to the empirical value of $\eta$. While relatively high values of $\eta$ (as high as 50 in some models)Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. are necessary to explain the behavior of asset prices, some controlled experimentsPotter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. have documented behavior that is more consistent with values of $\eta$ as low as one.

Risk aversion features

This and only this utility function has the feature of constant relative risk aversion. Mathematically this means that $-c\cdot u^{″}(c)/u^{\prime }(c)$ is a constant, specifically $\eta$. In theoretical models this often has the implication that decision-making is unaffected by scale. For instance, in the standard model of one risk-free asset and one risky asset, under constant relative risk aversion the fraction of wealth optimally placed in the risky asset is independent of the level of initial wealth.

Special cases

• $\eta =0$: this corresponds to risk neutrality, because utility is linear in c.
• $\eta =1$: by virtue of l'Hôpital's rule, the limit of $u(c)$ is $\log c$ as $\eta$ goes to one:

$\underset{\eta \to 1}{\lim }\frac{c^{1-\eta }-1}{1-\eta }=\log (c)$

which justifies the convention of using the limiting value u(c) = log c when $\eta =1$.

• $\eta$ → $\mathrm{\infty }$: this is the case of infinite risk aversion.

See also

• Isoelastic function
• Constant elasticity of substitution
• Exponential utility
• Risk aversion

References

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